id |
ecaadesigradi2019_627 |
authors |
Yang, Yang, Samaranayake, Samitha and Dogan, Timur |
year |
2019 |
title |
Using Open Data to Derive Local Amenity Demand Patterns for Walkability Simulations and Amenity Utilization Analysis |
source |
Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 665-674 |
doi |
https://doi.org/10.52842/conf.ecaade.2019.2.665
|
summary |
Understanding human behavior and preferences are important for urban planning and the design of walkable neighborhoods. However, it remains challenging to study human activity patterns because significant efforts are required to collect the relevant data, convert unstructured data into useful knowledge, and take into consideration different urban contexts. In the context of the heated discussion about urban walkability and amenities, as well as the need of identifying a feasible approach to analyze human activities, this paper proposes a simple and effective metric of the amenity demand patterns, which demonstrates the spatiotemporal distribution of human activities according to the activeness in urban amenities. Such metric has the potential to support the urban study about people, mobility, and built environment, as well as other relevant design thinking. Further, a case study illustrates the data and the new metric can be used in walkability simulations and amenity utilization analysis, thus informing the design decision-making process. |
keywords |
Big Data; Urban Amenity; Walkability; Human Activity |
series |
eCAADeSIGraDi |
email |
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full text |
file.pdf (15,234,753 bytes) |
references |
Content-type: text/plain
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last changed |
2022/06/07 07:57 |
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